A system having a processor obtain a digital hemodynamic data from a hemodynamic sensor, obtain one or more vital sign parameters characterizing vital sign data from the digital hemodynamic data, derive differential parameters based on the one or more vital sign parameters, generate combinatorial parameters using the one or more vital sign parameters and the differential parameters, determine a risk score corresponding to a probability of a future hypotension event for the living subject based on a weighted combination of a plurality of hypotension profiling parameters including the one or more vital sign parameters characterizing vital sign data, the differential parameters and the combinatorial parameters, and invoke a sensory alarm if the risk score satisfies a predetermined risk criterion.
Legal claims defining the scope of protection, as filed with the USPTO.
1. A system for monitoring health of a living subject, the system comprising: a hardware unit including a hardware processor, an analog-to-digital converter (ADC), and a system memory; a hypotension prediction software code including a predictive weighting module stored in the system memory; a hemodynamic sensor coupled to the hardware unit; and a sensory alarm; wherein the hardware processor is configured to execute the hypotension prediction software code to: obtain a digital hemodynamic data converted, by the ADC, from a signal received from the hemodynamic sensor; obtain one or more vital sign parameters characterizing vital sign data from the digital hemodynamic data; derive differential parameters based on the one or more vital sign parameters characterizing the vital sign data; generate combinatorial parameters using the one or more vital sign parameters characterizing the vital sign data and the differential parameters; determine, using the predictive weighting module, a risk score corresponding to a probability of a future hypotension event for the living subject based on a weighted combination of a plurality of hypotension profiling parameters including the one or more vital sign parameters characterizing vital sign data, the differential parameters and the combinatorial parameters, wherein the weighted combination of the plurality of hypotension profiling parameters results in a mean arterial pressure (MAP) of the living subject being substantially disregarded in determination of the risk score; and invoke the sensory alarm if the risk score satisfies a predetermined risk criterion.
2. The system of claim 1 , wherein the predetermined risk criterion is based on at least one of a value of the risk score and a trend of the risk score over a time interval.
3. The system of claim 1 , wherein the plurality of hypotension profiling parameters comprise at least one of: baroreflex sensitivity measures; hemodynamic complexity measures; frequency domain hemodynamic features; nonlinear combinations of hemodynamic features; and variations in hemodynamic features.
4. The system of claim 1 , wherein the hardware processor is further configured to execute the hypotension prediction software code to identify a most probable cause of the future hypotension event.
5. The system of claim 4 , wherein the hardware processor is further configured to execute the hypotension prediction software code to recommend a medical intervention for preventing the future hypotension event.
6. A method for use by a system for monitoring health of a living subject, the system comprising a hemodynamic sensor, a sensory alarm, and a hardware unit including a hardware processor, an analog-to-digital converter (ADC), and a hypotension prediction software code including a predictive weighting module stored in a system memory, the method comprising: obtaining, by the hypotension prediction software code executed by the hardware processor, a digital hemodynamic data converted, by the ADC, from a signal received from the hemodynamic sensor; obtaining, by the hypotension prediction software code executed by the hardware processor, one or more vital sign parameters characterizing vital sign data from the digital hemodynamic data; deriving, by the hypotension prediction software code executed by the hardware processor, differential parameters based on the one or more vital sign parameters characterizing vital sign data; generating, by the hypotension prediction software code executed by the hardware processor, combinatorial parameters using the one or more vital sign parameters characterizing vital sign data and the differential parameters; determining, by the hypotension prediction software code using the predictive weighting module and executed by the hardware processor, a risk score corresponding to the probability of a future hypotension event for the living subject based on a weighted combination of a plurality of hypotension profiling parameters including the one or more vital sign parameters characterizing vital sign data, the differential parameters and the combinatorial parameters, wherein the weighted combination of the plurality of hypotension profiling parameters results in a mean arterial pressure (MAP) of the living subject being substantially disregarded in determination of the risk score; and invoking, by the hypotension prediction software code executed by the hardware processor, the sensory alarm if the risk score satisfies a predetermined risk criterion.
7. The method of claim 6 , wherein the predetermined risk criterion is based on at least one of a value of the risk score and a trend of the risk score over a time interval.
8. The method of claim 6 , wherein the plurality of hypotension profiling parameters comprise at least one of: baroreflex sensitivity measures; hemodynamic complexity measures; frequency domain hemodynamic features; nonlinear combinations of hemodynamic features; and variations in hemodynamic features.
9. The method of claim 6 , further comprising identifying, by the hypotension prediction software code executed by the hardware processor, a most probable cause of the future hypotension event.
10. The method of claim 9 , further comprising recommending, by the hypotension prediction software code executed by the hardware processor, a medical intervention for preventing the future hypotension event.
11. A computer-readable non-transitory medium having stored thereon instructions, which when executed by a hardware processor, instantiate a method comprising: obtaining a digital hemodynamic data converted, by an analog-to-digital converter (ADC), from a signal received from the hemodynamic sensor; obtaining one or more vital sign parameters characterizing vital sign data from the digital hemodynamic data; deriving differential parameters based on the one or more vital sign parameters characterizing vital sign data; generating, by a hypotension prediction software code executed by the hardware processor, combinatorial parameters using the one or more vital sign parameters characterizing vital sign data and the differential parameters; determining a risk score corresponding to the probability of a future hypotension event for a living subject based on a weighted combination of a plurality of hypotension profiling parameters including the one or more vital sign parameters characterizing vital sign data, the differential parameters and the combinatorial parameters, wherein the weighted combination of the plurality of hypotension profiling parameters results in a mean arterial pressure (MAP) of the living subject being substantially disregarded in determination of the risk score; and invoking a sensory alarm if the risk score satisfies a predetermined risk criterion.
12. The computer-readable non-transitory medium of claim 11 , wherein the predetermined risk criterion is based on at least one of a value of the risk score and a trend of the risk score over a time interval.
13. The computer-readable non-transitory medium of claim 11 , wherein the plurality of hypotension profiling parameters comprise at least one of: baroreflex sensitivity measures; hemodynamic complexity measures; frequency domain hemodynamic features; nonlinear combinations of hemodynamic features; and variations in hemodynamic features.
14. The computer-readable non-transitory medium of claim 11 , further comprising identifying a most probable cause of the future hypotension event.
15. A system for monitoring health of a living subject, the system comprising: a hardware unit including a hardware processor, an analog-to-digital converter (ADC), and a system memory; a hypotension prediction software code including a predictive weighting module stored in the system memory; a hemodynamic sensor coupled to the hardware unit; and a sensory alarm; wherein the hardware processor is configured to execute the hypotension prediction software code to: obtain a digital hemodynamic data converted, by the ADC, from a signal received from the hemodynamic sensor; obtain one or more vital sign parameters characterizing vital sign data from the digital hemodynamic data; derive differential parameters based on the one or more vital sign parameters characterizing the vital sign data; generate combinatorial parameters using the one or more vital sign parameters characterizing the vital sign data and the differential parameters; determine, using the predictive weighting module, a risk score corresponding to a probability of a future hypotension event for the living subject based on a weighted combination of a plurality of hypotension profiling parameters including the one or more vital sign parameters characterizing vital sign data, the differential parameters and the combinatorial parameters, wherein the weighted combination of the plurality of hypotension profiling parameters results in a MAP of the living subject substantially dominating determination of the risk score; and invoke the sensory alarm if the risk score satisfies a predetermined risk criterion.
16. The system of claim 15 , wherein the predetermined risk criterion is based on at least one of a value of the risk score and a trend of the risk score over a time interval.
17. The system of claim 15 , wherein the plurality of hypotension profiling parameters comprise at least one of: baroreflex sensitivity measures; hemodynamic complexity measures; frequency domain hemodynamic features; nonlinear combinations of hemodynamic features; and variations in hemodynamic features.
18. The system of claim 15 , wherein the hardware processor is further configured to execute the hypotension prediction software code to identify a most probable cause of the future hypotension event.
19. The system of claim 18 , wherein the hardware processor is further configured to execute the hypotension prediction software code to recommend a medical intervention for preventing the future hypotension event.
20. A method for use by a system for monitoring health of a living subject, the system comprising a hemodynamic sensor, a sensory alarm, and a hardware unit including a hardware processor, an analog-to-digital converter (ADC), and a hypotension prediction software code including a predictive weighting module stored in a system memory, the method comprising: obtaining, by the hypotension prediction software code executed by the hardware processor, a digital hemodynamic data converted, by the ADC, from a signal received from the hemodynamic sensor; obtaining, by the hypotension prediction software code executed by the hardware processor, one or more vital sign parameters characterizing vital sign data from the digital hemodynamic data; deriving, by the hypotension prediction software code executed by the hardware processor, differential parameters based on the one or more vital sign parameters characterizing vital sign data; generating, by the hypotension prediction software code executed by the hardware processor, combinatorial parameters using the one or more vital sign parameters characterizing vital sign data and the differential parameters; determining, by the hypotension prediction software code using the predictive weighting module and executed by the hardware processor, a risk score corresponding to the probability of a future hypotension event for the living subject based on a weighted combination of a plurality of hypotension profiling parameters including the one or more vital sign parameters characterizing vital sign data, the differential parameters and the combinatorial parameters, wherein the weighted combination of the plurality of hypotension profiling parameters results in a MAP of the living subject substantially dominating determination of the risk score; and invoking, by the hypotension prediction software code executed by the hardware processor, the sensory alarm if the risk score satisfies a predetermined risk criterion.
21. The method of claim 20 , wherein the predetermined risk criterion is based on at least one of a value of the risk score and a trend of the risk score over a time interval.
22. The method of claim 20 , wherein the plurality of hypotension profiling parameters comprise at least one of: baroreflex sensitivity measures; hemodynamic complexity measures; frequency domain hemodynamic features; nonlinear combinations of hemodynamic features; and variations in hemodynamic features.
23. The method of claim 20 , further comprising identifying, by the hypotension prediction software code executed by the hardware processor, a most probable cause of the future hypotension event.
24. The method of claim 23 , further comprising recommending, by the hypotension prediction software code executed by the hardware processor, a medical intervention for preventing the future hypotension event.
25. A computer-readable non-transitory medium having stored thereon instructions, which when executed by a hardware processor, instantiate a method comprising: obtaining a digital hemodynamic data converted, by an analog-to-digital converter (ADC), from a signal received from the hemodynamic sensor; obtaining one or more vital sign parameters characterizing vital sign data from the digital hemodynamic data; deriving differential parameters based on the one or more vital sign parameters characterizing vital sign data; generating, by a hypotension prediction software code executed by the hardware processor, combinatorial parameters using the one or more vital sign parameters characterizing vital sign data and the differential parameters; determining a risk score corresponding to the probability of a future hypotension event for a living subject based on a weighted combination of a plurality of hypotension profiling parameters including the one or more vital sign parameters characterizing vital sign data, the differential parameters and the combinatorial parameters, wherein the weighted combination of the plurality of hypotension profiling parameters results in a MAP of the living subject substantially dominating determination of the risk score; and invoking a sensory alarm if the risk score satisfies a predetermined risk criterion.
26. The computer-readable non-transitory medium of claim 25 , wherein the predetermined risk criterion is based on at least one of a value of the risk score and a trend of the risk score over a time interval.
27. The computer-readable non-transitory medium of claim 25 , wherein the plurality of hypotension profiling parameters comprise at least one of: baroreflex sensitivity measures; hemodynamic complexity measures; frequency domain hemodynamic features; nonlinear combinations of hemodynamic features; and variations in hemodynamic features.
28. The computer-readable non-transitory medium of claim 25 , further comprising identifying a most probable cause of the future hypotension event.
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June 27, 2017
August 25, 2020
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